# -*- coding: utf-8 -*-
import xml.etree.ElementTree as ET
import os
from os import getcwd

# sets = ['train', 'val', 'test']
sets = ['train', 'val', 'test']
# classes = ['immature Koroneiki',
# 'half-matured Koroneiki',
# 'fully mature Koroneiki',
# 'immature Giarffa',
# 'half-matured Giarffa',
# 'fully mature Giarffa',
# 'immature Leucoarpa Round',
# 'half-matured Leucoarpa Round',
# 'fully mature Leucoarpa Round']


# classes=['Bollworm', 'Meadow borer', 'Gryllotalpa orientalis', 'Little Gecko',
#          'Agriotes fuscicollis Miwa', 'Nematode trench','Athetis lepigone', 'Scotogramma trifolii Rottemberg',
#          'Armyworm', 'Spodoptera cabbage', 'Anomala corpulenta','Spodoptera exigua',
#          'Plutella xylostella', 'holotrichia parallela', 'Rice planthopper', 'Yellow tiger',
#         'Land tiger', 'eight-character tiger', 'holotrichia oblita', 'Stem borer',
#          'Striped rice bore','Rice Leaf Roller', 'Spodoptera litura', 'Melahotus']
#
# pest24_names =  {
#         'Rice planthopper': 1,  'Rice Leaf Roller': 2, 'Striped rice bore':3,  'Armyworm': 5,  'Bollworm' : 6,
#         'Meadow borer': 7,  'Athetis lepigone': 8, 'Spodoptera litura': 10,   'Spodoptera exigua': 11,
#         'Stem borer':12,  'Little Gecko': 13,  'Plutella xylostella': 14, 'Spodoptera cabbage': 15,
#         'Scotogramma trifolii Rottemberg': 16,  'Yellow tiger': 24, 'Land tiger': 25,  'eight-character tiger': 28,
#          'holotrichia oblita':29,  'holotrichia parallela': 31,   'Anomala corpulenta': 32, 'Gryllotalpa orientalis': 34,
#         'Nematode trench': 35, 'Agriotes fuscicollis Miwa': 36, 'Melahotus': 37
# }

# classes=['red', 'yellow', 'green', 'off']

classes = ["xishuai","xiewenyee","zangjia","duncifuyajia","daozongjuanyeming","hongchun","zhonghualanbujia","lougu",
           "miyee","tiancaiyee","lanlvqijiaoming","nianchong","duchong","youmeitaie","xiaocaie","jinguizi","caoling","daolvchun",
           "xingbaixuedenge","maimuyeming","dilaohu","songmaochong","chenwudenge","xiusefuzichun","tutaie","huangzuliechun","xiumuyee",
           "woweiyee","taozhuming","huangdue","baiheihuataie","baitiaoyee","erhuaming","mianlingchong","yinwenyee","longshi"]


# classes=  ['Bollworm', 'Meadow borer', 'Gryllotalpa orientalis', 'Little Gecko', 'Agriotes fuscicollis Miwa', 'Nematode trench',
#         'Athetis lepigone', 'Scotogramma trifolii Rottemberg', 'Armyworm', 'Spodoptera cabbage', 'Anomala corpulenta',
#         'Spodoptera exigua', 'Plutella xylostella', 'holotrichia parallela', 'Rice planthopper', 'Yellow tiger',
#         'Land tiger', 'eight-character tiger', 'holotrichia oblita', 'Stem borer', 'Striped rice bore',
#         'Rice Leaf Roller', 'Spodoptera litura', 'Melahotus']

abs_path = os.getcwd()
print(abs_path)


def convert(size, box):
    dw = 1. / (size[0])
    dh = 1. / (size[1])
    x = (box[0] + box[1]) / 2.0 - 1
    y = (box[2] + box[3]) / 2.0 - 1
    w = box[1] - box[0]
    h = box[3] - box[2]
    x = x * dw
    w = w * dw
    y = y * dh
    h = h * dh
    return x, y, w, h

'''

def convert_annotation(image_id):
    in_file = open('D:/projects/Pest24/VOCdevkit/voc2007/Annotations/%s.xml' % (image_id), encoding='UTF-8')  # D:\projects\Pest24\VOCdevkit\voc2007
    out_file = open('D:/projects/Pest24/VOCdevkit/voc2007/labels/%s.txt' % (image_id), 'w')
    tree = ET.parse(in_file)
    root = tree.getroot()
    size = root.find('size')
    w = int(size.find('width').text)
    h = int(size.find('height').text)
    for obj in root.iter('object'):
        difficult = obj.find('difficult').text
        # difficult = obj.find('Difficult').text
        cls = obj.find('name').text
        if cls not in classes or int(difficult) == 1:
            continue
        cls_id = classes.index(cls)
        xmlbox = obj.find('bndbox')
        b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text),
             float(xmlbox.find('ymax').text))
        b1, b2, b3, b4 = b
        # 标注越界修正
        if b2 > w:
            b2 = w
        if b4 > h:
            b4 = h
        b = (b1, b2, b3, b4)
        bb = convert((w, h), b)
        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')


wd = getcwd()
for image_set in sets:
    if not os.path.exists('D:/projects/Pest24/VOCdevkit/voc2007/labels/'):
        os.makedirs('D:/projects/Pest24/VOCdevkit/voc2007/labels/')
    image_ids = open('D:/projects/Pest24/VOCdevkit/voc2007/ImageSets/%s.txt' % (image_set)).read().strip().split()

    if not os.path.exists('D:/projects/Pest24/VOCdevkit/voc2007/yolo_path/'):
        os.makedirs('D:/projects/Pest24/VOCdevkit/voc2007/yolo_path/')

    list_file = open('D:/projects/Pest24/VOCdevkit/voc2007/yolo_path/%s.txt' % (image_set), 'w')  # 相对路径
    for image_id in image_ids:
        list_file.write('D:/projects/Pest24/VOCdevkit/voc2007/images/%s.jpg\n' % (image_id))
        convert_annotation(image_id)
    list_file.close()

'''

set_path = 'E:/liyuhai_dir/dataset/pest24/'

def convert_annotation(image_id):
    in_file = open(set_path + 'Annotations/%s.xml' % (image_id), encoding='UTF-8')  # D:\projects\Pest24\VOCdevkit\voc2007
    out_file = open(set_path + 'labels/%s.txt' % (image_id), 'w')
    tree = ET.parse(in_file)
    root = tree.getroot()
    size = root.find('size')
    w = int(size.find('width').text)
    h = int(size.find('height').text)
    for obj in root.iter('object'):
        difficult = obj.find('difficult').text
        # difficult = obj.find('Difficult').text
        cls = obj.find('name').text
        if cls not in classes or int(difficult) == 1:
            continue
        cls_id = classes.index(cls)
        xmlbox = obj.find('bndbox')
        b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text),
             float(xmlbox.find('ymax').text))
        b1, b2, b3, b4 = b
        # 标注越界修正
        if b2 > w:
            b2 = w
        if b4 > h:
            b4 = h
        b = (b1, b2, b3, b4)
        bb = convert((w, h), b)
        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')


wd = getcwd()
for image_set in sets:
    if not os.path.exists(set_path + 'labels/'):
        os.makedirs(set_path + 'labels/')
    image_ids = open(set_path + 'ImageSets/%s.txt' % (image_set)).read().strip().split()

    if not os.path.exists(set_path + 'yolo_path/'):
        os.makedirs(set_path + 'yolo_path/')

    list_file = open(set_path + 'yolo_path/%s.txt' % (image_set), 'w')  # 相对路径
    for image_id in image_ids:
        list_file.write(set_path + 'images/%s.jpg\n' % (image_id))
        convert_annotation(image_id)
    list_file.close()



